Jason D. McEwen | DeepAI

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Featured Co-authors

Xiaohao Cai
22 publications
Marcelo Pereyra
19 publications
Zubair Khalid
7 publications
Matthew A. Price
6 publications
Augustine N. Mavor-Parker
5 publications
Christopher G. R. Wallis
4 publications
Patrick J. Roddy
4 publications
Julien Peloton
4 publications
Adeem Aslam
3 publications
Tarek Allam Jr.
2 publications
Luke Pratley
2 publications

∙ 06/30/2023

Proximal nested sampling with data-driven priors for physical scientists

Proximal nested sampling was introduced recently to open up Bayesian mod...

0 Jason D. McEwen, et al. ∙

∙ 06/30/2023

Learned harmonic mean estimation of the marginal likelihood with normalizing flows

Computing the marginal likelihood (also called the Bayesian model eviden...

0 Alicja Polanska, et al. ∙

∙ 03/15/2023

The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression

A new golden age in astronomy is upon us, dominated by data. Large astro...

0 Tarek Allam Jr., et al. ∙

∙ 02/12/2023

Slepian Scale-Discretised Wavelets on Manifolds

Inspired by recent interest in geometric deep learning, this work genera...

0 Patrick J. Roddy, et al. ∙

∙ 01/24/2023

Learned Interferometric Imaging for the SPIDER Instrument

The Segmented Planar Imaging Detector for Electro-Optical Reconnaissance...

0 Matthijs Mars, et al. ∙

∙ 09/27/2022

Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

No existing spherical convolutional neural network (CNN) framework is bo...

0 Jeremy Ocampo, et al. ∙

∙ 11/24/2021

Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

We resurrect the infamous harmonic mean estimator for computing the marg...

0 Jason D. McEwen, et al. ∙

∙ 06/07/2021

High-dimensional Bayesian model selection by proximal nested sampling

Imaging methods often rely on Bayesian statistical inference strategies ...

0 Xiaohao Cai, et al. ∙

∙ 06/03/2021

Slepian Scale-Discretised Wavelets on the Sphere

This work presents the construction of a novel spherical wavelet basis d...

0 Patrick J. Roddy, et al. ∙

∙ 05/13/2021

Paying Attention to Astronomical Transients: Photometric Classification with the Time-Series Transformer

Future surveys such as the Legacy Survey of Space and Time (LSST) of the...

0 Tarek Allam Jr., et al. ∙

∙ 05/12/2021

Bayesian variational regularization on the ball

We develop variational regularization methods which leverage sparsity-pr...

0 Matthew A. Price, et al. ∙

∙ 05/11/2021

Sparse image reconstruction on the sphere: a general approach with uncertainty quantification

Inverse problems defined naturally on the sphere are becoming increasing...

0 Matthew A. Price, et al. ∙

∙ 03/05/2021

Reducing cybersickness in 360-degree virtual reality

Despite the technological advancements in Virtual Reality (VR), users ar...

0 Iqra Arshad, et al. ∙

∙ 02/04/2021

Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs

Convolutional neural networks (CNNs) constructed natively on the sphere ...

0 Jason D. McEwen, et al. ∙

∙ 10/15/2020

Multiscale Optimal Filtering on the Sphere

We present a framework for the optimal filtering of spherical signals co...

0 Adeem Aslam, et al. ∙

∙ 07/23/2020

Sifting Convolution on the Sphere

A novel spherical convolution is defined through the sifting property of...

0 Patrick J. Roddy, et al. ∙

∙ 12/12/2017

Online radio interferometric imaging: assimilating and discarding visibilities on arrival

The emerging generation of radio interferometric (RI) telescopes, such a...

0 Xiaohao Cai, et al. ∙

∙ 11/13/2017

Uncertainty quantification for radio interferometric imaging: II. MAP estimation

Uncertainty quantification is a critical missing component in radio inte...

0 Xiaohao Cai, et al. ∙

∙ 11/13/2017

Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods

Uncertainty quantification is a critical missing component in radio inte...

0 Xiaohao Cai, et al. ∙

∙ 09/21/2016

Wavelet-Based Segmentation on the Sphere

Segmentation is the process of identifying object outlines within images...

0 Xiaohao Cai, et al. ∙

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